Textile-Based Electrogoniometers for Wearable Posture and Gesture Capture Systems

This paper introduces a method for detecting joint angles by using piezoresistive strain sensitive materials, as carbon loaded rubbers are. Materials used can be screen-printed onto fabrics to provide garments with a sensing apparatus able to reconstruct human postures and gestures. The main differences between this approach and the previous ones, and the core of this work, is the rigorous proof that for small local curvatures of the layers the constituting electrogoniometers, the resistance depends only on the total curvature of the layers and not on the particular form that the sensor keeps in adherence with the human body. In this paper, we show that the hypothesis of small local curvature does not severely restrict the set of angles which can be detected.

[1]  J. D. Janssen,et al.  A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity , 1997, IEEE Transactions on Biomedical Engineering.

[2]  Albrecht Schmidt,et al.  Multi-sensor context aware clothing , 2002, Proceedings. Sixth International Symposium on Wearable Computers,.

[3]  D. De Rossi,et al.  Body segment position reconstruction and posture classification by smart textiles , 2007 .

[4]  A. Lymberis,et al.  Advanced Wearable Health Systems and Applications - Research and Development Efforts in the European Union , 2007, IEEE Engineering in Medicine and Biology Magazine.

[5]  S. Mukhopadhyay,et al.  Resistive fibre-meshed transducers , 2003, Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings..

[6]  D. Rossi,et al.  Dressware: wearable hardware , 1999 .

[7]  D. Rossi,et al.  Wearable kinesthetic system for capturing and classifying upper limb gesture in post-stroke rehabilitation , 2005, First Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. World Haptics Conference.

[8]  D. De Rossi,et al.  Wearable, redundant fabric-based sensor arrays for reconstruction of body segment posture , 2004, IEEE Sensors Journal.

[9]  H Harry Asada,et al.  Wearable Conductive Fiber Sensors for Multi-Axis Human Joint Angle Measurements , 2005, Journal of NeuroEngineering and Rehabilitation.

[10]  André Dittmar,et al.  Advanced wearable health systems and applications. , 2007, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[11]  Enzo Pasquale Scilingo,et al.  Performance evaluation of sensing fabrics for monitoring physiological and biomechanical variables , 2005, IEEE Transactions on Information Technology in Biomedicine.